Overview
Whether you arrived from a “Pyth Network vs Decentraland” query or from PEPS coin pages, this hub aggregates ranks, performance and module-backed signals into one canonical URL.
Quick winners
Full comparison
| Metric | PYTH | MANA |
|---|---|---|
| Price | $0.039456 | $0.066527 |
| Market Cap | $310.72M | $130.29M |
| FDV | — | — |
| Volume 24h | $12.54M | $8.19M |
| Circulating Supply | — | — |
| Total Supply | — | — |
| Max Supply | — | — |
| Rank | 121.00 | 213.00 |
| Dominance | — | — |
| Liquidity | — | — |
| Volatility | +3.50% | +3.50% |
| ATH | — | — |
| ATL | — | — |
| ROI | — | — |
Performance
| Timeframe | PYTH | MANA |
|---|---|---|
| 1H | — | — |
| 24H | -0.10% | +1.30% |
| 7D | — | — |
| 30D | — | — |
| 90D | — | — |
| 1Y | — | — |
| YTD | — | — |
| ALL | — | — |
Comparative chart
Technical indicators
| Indicator | PYTH | MANA |
|---|---|---|
| RSI | 54.31 | 54.31 |
| MACD histogram | — | — |
| EMA20 | — | — |
| EMA50 | — | — |
| EMA100 | — | — |
| EMA200 | — | — |
| SMA50 | — | — |
| SMA200 | — | — |
| ATR | 66.45 | 66.45 |
| ADX | 20.44 | 20.44 |
| Support | 1,827.82 | 1,827.82 |
| Resistance | 1,960.30 | 1,960.30 |
| Trend | bearish | bearish |
| Momentum | 64.00 | 64.00 |
| Signal | neutral | neutral |
Automatic technical analysis
Indicator stacks for PYTH/MANA currently lean on separate regimes: bearish versus bearish. Treat MACD and RSI as context, not as standalone entry triggers.
Fundamentals
| Metric | PYTH | MANA |
|---|---|---|
| Consensus | — | — |
| Blockchain | — | — |
| TPS | — | — |
| Block time | — | — |
| Finality | — | — |
| Validators | — | — |
| Staking | — | — |
| TVL | — | — |
| Supply model | — | — |
| Inflation | — | — |
| Developer activity | — | — |
| Github activity | — | — |
| On-chain activity | — | — |
| Whale activity | — | — |
| Addresses | — | — |
| Gas fees | — | — |
Ecosystem
Pyth Network
Decentraland
Pros and cons
Pros of Pyth Network
- Pyth Network has an established coin page footprint on PEPS for continuous monitoring.
- PYTH often anchors narratives that attract sustained media and analyst coverage.
- Composite PEPS readings for Pyth Network can surface clearer module agreement during trend phases.
Cons of Pyth Network
- Large-cap status for Pyth Network can mean slower percentage upside versus high-beta alternatives.
- Regulatory or macro headlines can hit Pyth Network harder simply because it is more visible.
- Indicator stacks on Pyth Network may stay stretched longer than expected in strong trends.
Pros of Decentraland
- Diversifying versus Pyth Network with Decentraland can change portfolio factor exposure.
- Active volume bursts on MANA sometimes precede sharper tactical moves.
- Decentraland can offer higher relative beta when market attention rotates toward its niche.
- Narrative optionality around Decentraland can reprice quickly when catalysts appear.
Cons of Decentraland
- Trend failures on Decentraland often travel faster than on more established assets.
- Smaller book depth versus large caps can increase slippage for Decentraland.
- Incomplete fundamental coverage can hide operational or tokenomic risks.
Which looks stronger right now?
Data currently points to a probabilistic edge for Pyth Network on size and Pyth Network on activity. Neither reading guarantees future returns.
AI summary
In about three hundred words of context: Pyth Network (PYTH) trades near $0.039456 with a -0.10% day move, while Decentraland (MANA) is around $0.066527 (+1.30%). Volume leadership currently sits with Pyth Network, and market-cap leadership with Pyth Network. Technical trend labels read bearish vs bearish, with RSI near 54.31/54.31. Bottom line: use this page as a structured checklist, then open each coin page and related PEPS tools before acting. Nothing here is financial advice.
FAQ
Which is better, Pyth Network or Decentraland?
“Better” depends on horizon and risk. Pyth Network leads on market cap today, while Decentraland leads the 24h move — neither is a guarantee.
Which has more upside potential, PYTH or MANA?
Higher-beta assets can move more in both directions. Use performance tables and volatility, not headlines, to judge potential ranges.
Which is less risky right now?
Lower volatility and deeper liquidity usually imply milder path risk, but crypto tails remain large for both Pyth Network and Decentraland.
Which has stronger developer activity?
Check the fundamentals table for developer/github fields when populated. Missing values mean the feed has no reliable reading yet.
Which looks more decentralized?
Decentralization is multi-dimensional (validators, client diversity, token distribution). This page surfaces available consensus/validator fields without over-claiming.
Which has lower fees?
Fee comparisons belong to each network’s fee market. Where gas/fee metrics exist in fundamentals, compare them; otherwise verify on explorers.
Which is better for investing?
Investing choices need personal constraints. Use this comparison as research input, then size positions with an explicit invalidation plan.
Which is better for staking?
If staking fields are present, compare yield mechanics and lockups off-platform. Staking returns are not risk-free.
Which is more used day to day?
Volume, on-chain activity and ecosystem links are practical usage proxies. Pyth Network currently leads traded volume on this snapshot.
Which has the better recent performance?
See the performance table across 1h through 1y. The 24h leader is Decentraland, but longer windows can disagree.